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Building a Real-Time Pipeline

How I built a real-time pipeline that gets 95% of updates on screen in under 100 ms, then broke it on purpose to see what survives. Each post covers one engineering decision: the options, what I chose, what it cost, and the numbers I measured. It starts with Kafka and failure drills and moves on to AWS and AI features.

Posts in this series